AI Cost & Token Optimization
Cutting your AI bill — free model routing through Open Router, running models locally to offload work, token-saving Claude Code commands, opus-plan-mode tricks.
Speculative Decoding Explained: How Draft Models Make AI Agents Faster
Speculative decoding uses a small draft model to guess tokens and a large model to verify them. Learn how it cuts AI agent latency without losing quality.
What Is DeepSpark? How DeepSeek Made Every LLM 50–400% Faster Without Retraining
DeepSpark is DeepSeek's speculative decoding method that speeds up LLM inference 50–400% with no retraining. Learn how it works and why it matters.
How to Run GLM 5.2 in Claude Code Using OpenRouter: A 5-Minute Setup Guide
You can run GLM 5.2 inside Claude Code's harness via OpenRouter in minutes. This guide covers setup, the anthropic_base_url trick, and web search integration.
What Is the AI Token Cost Crisis? Why Uber Burned Its Entire AI Budget in 4 Months
Uber's engineers spent $500–$2,000/month each on AI tokens. Learn why token costs are exploding in agentic workflows and how to manage them.
How to Use GLM 5.2 as a Backend for Your AI Agents: OpenRouter Setup Guide
Run GLM 5.2 inside Claude Code or any agent harness via OpenRouter. Step-by-step setup to cut API costs without sacrificing coding quality.
How to Use GLM 5.2 in Claude Code with OpenRouter: 5-Minute Setup Guide
Set up GLM 5.2 as the backend model for Claude Code using OpenRouter in under 5 minutes. Get frontier-level coding at a fraction of the API cost.
How to Use OpenRouter to Run GLM 5.2 in Claude Code for Cheaper Agentic Workflows
GLM 5.2 via OpenRouter costs $1.40 per million input tokens vs Claude Fable's $10. Here's how to set it up in Claude Code in under 5 minutes.
What Is Selective Quantization? How Dwarf Star Runs 284B Models on 128GB RAM
Dwarf Star crushes only routed expert weights to 2-bit while keeping load-bearing layers at 4-bit, preserving quality while slashing memory requirements.
AI Pricing Is About to Change: Why the $20/Month Era Is Ending
AI subscriptions are unsustainably cheap. Learn why usage-based pricing is coming, what it means for your workflows, and how to prepare now.
What Is Model Fusion? How OpenRouter Fusion Matches Frontier AI at Half the Cost
OpenRouter Fusion combines multiple models in parallel to match Claude Fable 5 performance at half the price. Here's how it works and when to use it.
AI Pricing Is About to Shock Everyone: Why the $20/Month Era Is Ending
AI subscriptions are heavily subsidized by VC money. IPOs, usage-based pricing, and enterprise cost overruns signal a major price shock is coming soon.
OpenRouter Fusion vs Claude Fable 5: Which Gets You Better Results for Less?
OpenRouter Fusion reaches 64.7% on key benchmarks vs Fable 5's 65.3%—at half the cost. Compare quality, pricing, and long-horizon task limitations.
Usage-Based AI Pricing vs Flat Subscriptions: What the GitHub Copilot Shift Means for Builders
GitHub Copilot switched to token-based billing. One user's $28 bill would have been $700. Here's what the shift to usage-based AI pricing means for your stack.
What Is OpenRouter Fusion? The Multi-Model API That Matches Claude Fable 5 at Half the Cost
OpenRouter Fusion fans prompts across multiple models, synthesizes results, and achieves near-Fable 5 performance at half the price. Here's how it works.
Claude Fable 5 Token Costs: How to Manage Usage Without Burning Your Budget
At $10 per million input and $50 per million output tokens, Claude Fable 5 is expensive. Here's how to control costs and get the most from every session.
MCP vs CLI for AI Agents: When to Use Each and Why It Matters for Token Costs
MCP servers load tool definitions into context permanently. CLI tools cost nothing until called. Learn when each integration method is the right choice.
AI Model Routing in 2026: When to Use Fable 5, Opus, Sonnet, and Haiku
Not every task needs your most expensive model. Learn how to route tasks across Claude Fable 5, Opus, Sonnet, and Haiku to cut costs without losing quality.
How to Use Prompt Caching to Cut Claude Code Token Costs in Dynamic Workflows
Dynamic workflows burn tokens fast. Learn how to use prompt caching, scope bounding, and Haiku sub-agents to control costs in Claude Code.
How to Manage Token Costs in Claude Code Dynamic Workflows: Haiku Sub-Agents and Scope Bounding
Dynamic workflows can burn millions of tokens fast. Learn how to use Haiku sub-agents, scope bounding, and named deliverables to control costs.
How to Control Token Costs in Claude Code Dynamic Workflows
Dynamic workflows can burn millions of tokens fast. Learn how to scope tasks, use Haiku sub-agents, and set boundaries to keep costs under control.
How to Use Prompt Caching and Token Management in Claude Code Dynamic Workflows
Dynamic workflows can burn through tokens fast. Learn how to use Haiku for sub-agents, bound your scope, and manage costs before they spiral.
What Is the AI Token Cost Crisis? Why Enterprise AI Bills Are Exploding
Agents and reasoning eat tokens at a different scale than chat. Learn why enterprise AI costs are rising and how to manage token spend across your stack.
How to Forecast AI Token Usage for Your Business: Beyond Seats and Licenses
Forecasting AI by users or seats will leave you underprepared. Learn to forecast by tokens per workflow, agent loops, and concurrency to avoid capacity shocks.
What Is Prompt Caching in Claude Code? How to Save Millions of Tokens
Prompt caching cuts Claude token costs by 90% for repeated context. Learn how cache TTL works, what breaks the cache, and three habits that maximize savings.